Relevant bibliographies by topics / Clustering of the economy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Clustering of the economy'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Clustering of the economy"

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Stukalo, Nataliia, and Anastasiia Simakhova. "Global parameters of social economy clustering." Problems and Perspectives in Management 16, no. 1 (2018): 36–47. http://dx.doi.org/10.21511/ppm.16(1).2018.04.

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The study of various aspects of social economy is stipulated by the fact that the focus of any economic system is the human being as the main object and the result of economic activity. The purpose of this paper is to cluster of social economies of the countries throughout the world with distinguishing the models of social economy for transition economies under globalization conditions. The results of research represent four clusters of social economy that prove validity of classification of 4 classic models of social economy: liberal, Scandinavian, corporatist, and Mediterranean. While the mo
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Kogovšek, Metka, and Mojca Kogovšek. "CLUSTERING AND KNOWLEDGE BASED ECONOMY." Nauka+Praksa 15 (October 10, 2012): 53–60. http://dx.doi.org/10.62683/nip15.53-60.

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The main aim of the paper is to identify education quality focused on the need to make profound connection with the business environment with the goal of employability of graduates. The findings suggest that flow of ideas and information with focus on knowledge within the cluster serves as a powerful force for potential change in educational systems where links between practice and theory are firmly grounded and applied as the means to develop appropriate teaching and pedagogical strategies to meet the student’s needs.
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Slava, Svitlana. "Economy and creativity multiparametric clustering." REGION 10, no. 1 (2023): 159–81. http://dx.doi.org/10.18335/region.v10i1.382.

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This paper suggests a way to cluster Ukrainian regions by using economy and creativity-related multiparametric sets so as to reveal the main roles of players in cross-regional comparisons. Special attention was paid to an analysis of invaded regions since 2014 and 2022. The methodology is based on a consistent utilisation of structured analysis, correlation, regression and clustering modelling. Sets of parameters were selected from secondary data via correlation and regression analyses aimed at defining the most impactful factors. The study sample includes 25 regions in Ukraine. The research r
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Charykova, O. G., and E. S. Markova. "Regional Clustering in the Digital Economy." Economy of Region 15, no. 2 (2019): 409–19. http://dx.doi.org/10.17059/2019-2-8.

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Smirnova, Elena E. "Clustering of regional economy: tax aspect." Economic Problems and Legal Practice 16, no. 5 (2020): 101–4. https://doi.org/10.33693/2541-8025-2020-16-5-101-104.

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Article considers application of clusters as the effective instrument of social and economic development of regions, taking into account application of tax preferences - reduction of a tax rate, granting tax benefits, namely: an exception of subject to taxation, of tax base at observance of certain conditions, use of the raising depreciation coefficients). Examples are tax preferences on: to income tax of the organizations (the raising depreciation coefficients), the VAT (release from research and development realization taxation), the property tax of the organizations (an exception of objects
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Samiilenko, Halyna, Olha Popelo, Veronika Khudolei, Kostyantyn Mashnenkov, and Yuliia Derkachenko. "Transformational processes of clustering in digital economy." LAPLAGE EM REVISTA 7, Extra-C (2021): 691–702. http://dx.doi.org/10.24115/s2446-622020217extra-c1106p.691-702.

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Within the article, information on the current state of clustering is systematized, for which the data on the cluster formations functioning in the world are analyzed, on the basis of which seven world models of clusters are singled out, their main and characteristic features are outlined. The orientation of Ukrainian clusters is clarified, special features are revealed and their characteristics are given. It is proved that modern manifestations of digital economy significantly influence the process of clustering and cluster formation. The analysis of digitalization of Ukraine in the regional
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Kostin, Svyatoslav. "Innovation Economy Clustering: Strategic Issues of Development." Economic Strategies 190, no. 4 (2023): 72–77. http://dx.doi.org/10.33917/es-1.190.2023.72-77.

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Conditions prevailing in the Russian economy in 2023 presuppose an increased role of indirect forms of state support for business, where the state acts as a curator, nourishing small businesses with the help of analytical support. An optimal institution for implementing such a support policy is the innovation cluster, due to the formation in the process of “cooperation — competition” of a group of interrelated enterprises that can compete with large companies in innovation markets. Based on the patent analysis, it is shown that Russia has a significant development potential, and innovation clu
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Hlasov, Pavlo. "Improvement of the mechanism of management accounting of enterprise expenses in the conditions of clusterization." Technology audit and production reserves 3, no. 4(59) (2021): 6–11. http://dx.doi.org/10.15587/2706-5448.2021.235296.

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The object of research is the implementation of clustering of the economy as an effective mechanism for management accounting of the costs of enterprises. One of the most problematic areas is the identification of the main priority areas of clustering the economy, which will actively influence the development of management accounting of enterprises' costs. The use of a cluster mechanism for management cost accounting, thanks to management, information, personnel, financial, investment, and innovation potential, will create a research base for developing cost accounting methods and assess the p
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Pavlo, Hlasov. "Improvement of the mechanism of management accounting of enterprise expenses in the conditions of clusterization." Technology audit and production reserves 3, no. 4(59) (2021): 6–11. https://doi.org/10.15587/2706-5448.2021.235296.

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<em>The object of research is the implementation of clustering of the economy as an effective mechanism for management accounting of the costs of enterprises. One of the most problematic areas is the identification of the main priority areas of clustering the economy, which will actively influence the development of management accounting of enterprises&#39; costs. The use of a cluster mechanism for management cost accounting, thanks to management, information, personnel, financial, investment, and innovation potential, will create a research base for developing cost accounting methods and asse
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Polyakov, Maxim Valeriyovich, Gennadiy Yakovych Shevchenko, and Volodimir Stanislavovich Bilozubenko. "CLUSTERING OF COUNTRIES IN GLOBAL LANDSCAPE OF KNOWLEDGE ECONOMY DEVELOPMENT." SCIENTIFIC BULLETIN OF POLISSIA 1, no. 1(13) (2018): 176–83. http://dx.doi.org/10.25140/2410-9576-2018-1-1(13)-176-183.

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Dissertations / Theses on the topic "Clustering of the economy"

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Acres, Colleen Greer. "Spatial clustering of sector linked industry in an urban economy." PDXScholar, 1985. https://pdxscholar.library.pdx.edu/open_access_etds/356.

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The influence of economies of agglomeration on location decisions has been debated since it was advanced by Alfred Weber in 1909. Empirical findings at the international, national, and regional levels do not definitely support the efficacy of such economies. No study has been done at a local level, the one inherently appropriate to the Weber premise. Further, most studies have used highly generalized manufacturing groupings. The importance of intra-industry and inter-industry determinants of spatial proximity in the Portland, Oregon metropolitan area was investigated in this study. The data ba
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Tavassoli, Mohammad hosein. "Exploring the Critical Success Factors of Industrial Clustering; SMIL as an illustrative case study." Thesis, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-53706.

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<p>“Industrial cluster” is one type of agglomeration and the concept has been increasingly used and recognized as an essential part of regional development strategies and thinking in recent years. However, there has <em>not</em> been an explicit collection-work devoted to exploring the <strong>Critical Success Factors</strong> (CSFs). So, this thesis aims to explore such CSFs based on literature review as well as illustrative case study.</p><p>The major finding of this thesis is exploration of 18 (possible) CSFs based on extensive literature review and grouping them into 5 success categories (
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Hladký, Ján. "Aerospace Clustering and its role in economic performance." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201908.

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This dissertation thesis evaluates the role of aerospace clustering in the economic output. The focus on the clusters is based on the already existing theory, namely Michael Porter's book The Competitive Advantage of Nations in which he named clustering as one of the four essential factors that define the economic competitiveness of a country. On the other hand, the aerospace industry shows a huge potential with growing markets in Asia and in the run of the next decades, space exploration has to be reckoned with. In order to give a support to this theory and apply it to aerospace, a two stage
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Lundequist, Per. "Spatial clustering and industrial competitiveness : Studies in economic geography." Doctoral thesis, Uppsala : Department of Social and Economic Geography, Uppsala University, 2002. http://publications.uu.se/theses/99-2002-0429140456/.

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Jalali, Nasim. "Entertainment & Arts’ effect on Hotel & Restaurant Industries : An Empirical Study of Sweden." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Economics, Finance and Statistics, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-23551.

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The purpose of this study is to examine the relationship between the presence of the Arts (the arts, and museums) and Entertainment (Sports) industries and the core of the hospitality industry, being hotels and restaurants, in Sweden. More specifically, it deals with how the development of sport, the arts and museum industries is related to the development of Hotel and Restaurant industries in the country. This has been tested by multiple regression models and results do not reject the first hypothesis of the study which is the positive relationship between the development of Entertainment and
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Littlefield, Joanne. "Birds of a Feather: Market Clustering and Arizona's Economic Future." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2007. http://hdl.handle.net/10150/622129.

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Polesel, Giovanni <1987&gt. "Analysis of food consumption in Europe via time series clustering." Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/2981.

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Lo scopo della seguente tesi di laurea è di analizzare l’evoluzione dei consumi alimentari nei paesi Europei. Questo tema è stato trattato da vari autori, a causa dal fatto che il consumo di generi alimentari è fondamentale nella nostra vita. Nell’analisi empirica verrà descritta la struttura dei consumi alimentari in Europa e le differenze più importanti che si sono verificate dal 1961 al 2009. È stata utilizzata la tecnica statistica della Cluster Analysis nelle serie storiche, avvalendosi della misura del Dynamic Time Warping (DTW) allo scopo di evidenziare le analogie tra le varie evoluzio
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Zuppini, Marcela Sousa. "Apreçamento de debêntures ilíquidas utilizando redes neurais e clustering." reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/24761.

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Submitted by Marcela Zuppini (marcela.zuppini@gmail.com) on 2018-09-17T15:29:45Z No. of bitstreams: 1 Dissertacao-MarcelaZuppini.pdf: 981569 bytes, checksum: 5370718f173516ac989c81abc20caba1 (MD5)<br>Approved for entry into archive by Joana Martorini (joana.martorini@fgv.br) on 2018-09-17T18:01:06Z (GMT) No. of bitstreams: 1 Dissertacao-MarcelaZuppini.pdf: 981569 bytes, checksum: 5370718f173516ac989c81abc20caba1 (MD5)<br>Approved for entry into archive by Suzane Guimarães (suzane.guimaraes@fgv.br) on 2018-09-18T14:11:35Z (GMT) No. of bitstreams: 1 Dissertacao-MarcelaZuppini.pdf: 981569 byt
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Brogan, Mark P. "Transformation theory and e-commerce adoption." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2006. https://ro.ecu.edu.au/theses/51.

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This thesis investigates business transformation on the Internet; particularly the nature and significance of Cyber transformation theory and the Marketspace Model as a framework for E-commerce adoption. E-commerce can raise a firm's productivity, transform customer relationships and open up new markets. The extent to which nations become adopters of E-commerce is set to become a source of comparative national competitive advantage (or disadvantage) in the twenty first century.
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Hovander, Sebastian. "The Distance to a University and Regional Output : A Study of how Distance to a University Impacts the Economic Productivity of a Municipality." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Nationalekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-34589.

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The Swedish population is rapidly increasing in educational level in the past two decades and educational level has long been a topic of interest for labor productivity. This increase in educational level brings up an interesting discussion of whether the remoteness of a university helps create productivity and if so by how much. This is a study that will try and explain the impact on regional productivity by having a university closer, using the distance to the closest university of each municipality in Sweden, and depending on what quality this university possess. Using simple OLS regression
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Books on the topic "Clustering of the economy"

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1974-, Breunig Christian, ed. Country clustering in comparative political economy. Max-Planck-Institut für Gesellschaftsforschung, 2009.

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Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects).&#x0D; The second edition is supplem
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Xu, Rui. Clustering. Wiley, 2009.

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Owsiński, Jan W., Jarosław Stańczak, Karol Opara, Sławomir Zadrożny, and Janusz Kacprzyk. Reverse Clustering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69359-6.

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Bolshoy, Alexander, Zeev (Vladimir) Volkovich, Valery Kirzhner, and Zeev Barzily. Genome Clustering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12952-0.

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Govaert, Gérard, and Mohamed Nadif. Co-Clustering. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118649480.

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1968-, Abraham Ajith, and Konar Amit, eds. Metaheuristic clustering. Springer, 2009.

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Greenblatt, Alan. Economic Clustering. CQ Press, 2020. http://dx.doi.org/10.4135/cqresrre20200821.

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Biehl, Michael, Barbara Hammer, Michel Verleysen, and Thomas Villmann, eds. Similarity-Based Clustering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01805-3.

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Pedrycz, Witold. Knowledge-Based Clustering. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471708607.

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Book chapters on the topic "Clustering of the economy"

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Lee, Chang Jae, You-il Lee, John Benson, Ying Zhu, and Yoon-Jong Jang. "The political economy of economic clustering in Northeast Asia." In The Political Economy of New Regionalism in Northeast Asia. Routledge, 2018. http://dx.doi.org/10.4324/9781351051385-5.

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Oreshina, Olga, Elena V. Povorina, and Marina V. Vinogradova. "Adaptation of Macro-Economic Models to Solving the Problem of Countries Differentiation in Global Economy." In Integration and Clustering for Sustainable Economic Growth. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45462-7_43.

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Bezrukova, Tatiana L., Larisa V. Bryantseva, Valery L. Pozdeev, Irina V. Orobinskaya, Anton G. Kazmin, and Boris A. Bezrukov. "Conceptual Aspects of Tax System Development in Cyclic Economy." In Integration and Clustering for Sustainable Economic Growth. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45462-7_31.

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Melikhov, Viktor V., Alexey A. Novikov, Lyudmila N. Medvedeva, and Olga P. Komarova. "Green Technologies: The Basis for Integration and Clustering of Subjects at the Regional Level of Economy." In Integration and Clustering for Sustainable Economic Growth. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45462-7_37.

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Szerb, László, Eva Somogyine Komlosi, Zoltan J. Acs, Esteban Lafuente, and Abraham K. Song. "The Digital Platform Economy Index: Country Rankings and Clustering." In SpringerBriefs in Economics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89651-5_4.

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Polyanin, Andrey V., Lyudmila I. Pronyaeva, Anna V. Pavlova, Olga A. Fedotenkova, and Irina A. Eremina. "Clustering of the Economy of the Agro-Industrial Complex of the Region." In Geo-Economy of the Future. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92303-7_42.

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Zhang, Chengzhi, Huilin Wang, Yao Liu, and Hongjiao Xu. "Document Clustering Description Extraction and Its Application." In Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00831-3_37.

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Patrusheva, Elena G., Anna V. Raikhlina, Dmitry V. Tumanov, and Alexander P. Karasev. "The Problems of Industrial Clustering in Region Strategy Development." In Business 4.0 as a Subject of the Digital Economy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90324-4_63.

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Kuzlaeva, Irina M., Maria A. Troyanskaya, Ulyana A. Pozdnyakova, Evgeniy Y. Malikov, Lyudmila Y. Mkhitaryan, and Natalya A. Volkova. "Support for Cluster Initiatives in View of Development of Innovational Economy: Regarding the Issue of Legal Regulation at the Level of Subjects of the Russian Federation." In Integration and Clustering for Sustainable Economic Growth. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45462-7_27.

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Abramowicz, Witold, Tomasz Kaczmarek, and Marek Kowalkiewicz. "Automatic Topic Map Creation Using Term Crawling and Clustering Hierarchy Projection." In Constructing the Infrastructure for the Knowledge Economy. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-4852-9_42.

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Conference papers on the topic "Clustering of the economy"

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Huang, Yijing, Ludan Zhang, Zhichao Mao, Xinmeng Sheng, and Shikui Cao. "Analysis of Research Hot Spots and Evolutionary Trends in Chinese Hospital Management Based on Clustering Algorithm." In 2025 4th International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID). IEEE, 2025. https://doi.org/10.1109/icaid65275.2025.11034406.

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Zheng, Yuxin. "Research on the Application of Optimized Clustering and Feature Fusion Techniques in E-commerce Customer Segmentation and Retention Strategies." In 2025 4th International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID). IEEE, 2025. https://doi.org/10.1109/icaid65275.2025.11034422.

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Zhang, Taomei. "Visual Analysis of Ecological Economic Data Based on Clustering Algorithm." In 2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS). IEEE, 2024. http://dx.doi.org/10.1109/aiars63200.2024.00174.

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Pabla, Taminder, Ajmery Sultana, and Wenjun Lin. "Tracing Economic Vibrancy: AI-Driven Analysis of Geographic Clustering in Legal Businesses." In 2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2024. http://dx.doi.org/10.1109/snpd61259.2024.10673950.

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Ma, Gang, Hongxin Li, and Kun Luo. "Application of clustering in regional economy." In the 7th international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1089551.1089563.

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Buyanova, Marina A., Maria S. Shiro, and Alexander V. Kozlov. "Regional Economy Clustering as Effective Import Substitution Factor." In 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). IEEE, 2018. http://dx.doi.org/10.1109/itmqis.2018.8525082.

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CĂLUGĂREANU, IRINA. "CLUSTERING OF BUSINESSES IN THE REPUBLIC OF MOLDOVA: ANALYSIS OF ECONOMIC DEVELOPMENT PROSPECTS." In COMPETITIVENESS AND INNOVATION IN THE KNOWLEDGE ECONOMY. Editura ASE, 2025. https://doi.org/10.24818/cike2024.04.

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In the context of the National Industrial Development Program for the years 2024-2028, supporting the cluster development in the industrial sector of the Republic of Moldova, represents a priority strategic direction for strengthening business infrastructure. Clustering, broadly conceptualized as a geographical concentration of companies and innovation activities, has become essential for increasing economic competitiveness on a regional scale. In the Republic of Moldova, this process is seen as an essential way to increase the operational efficiency of companies by facilitating access to comm
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Qing-E, Wang, and Li Li. "Clustering Development of Industrial Parks in the Recycling Economy." In 2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA). IEEE, 2013. http://dx.doi.org/10.1109/isdea.2012.109.

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Shami, Ahmad Al, Ahmad Lotfi, Eugene Lai, and Simeon Coleman. "Unified knowledge economy competitiveness index using fuzzy clustering model." In Economics -Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/cifer.2011.5953563.

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Fen, Li, and Dong Fen-yi. "Grey clustering evaluation on regional tourism economy development in China." In 2013 IEEE International Conference on Grey Systems and Intelligent Services (GSIS). IEEE, 2013. http://dx.doi.org/10.1109/gsis.2013.6714798.

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Reports on the topic "Clustering of the economy"

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Acres, Colleen. Spatial clustering of sector linked industry in an urban economy. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.356.

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Kim-Sherman, Jacob, and Lee Seltzer. Clustering in Natural Disaster Losses. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1135.

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In contrast with findings in climate science, economists often treat losses from natural disasters as statistically independent of one another. To better incorporate scientific insights into economic research, we introduce a methodology to identify spatial and temporal clusters in datasets on losses from natural disasters. We find that expected damage increases non-linearly with relative cluster size. Additionally, county-level damage is correlated with the damage experienced by other counties in the same cluster. Our findings suggest that accounting for clustering allows for a more complete u
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Sargi, Islam. Discourse and Ideologies of the Radical Right. European Center for Populism Studies (ECPS), 2024. https://doi.org/10.55271/br0023.

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Teun A. van Dijk’s book explores how radical right parties adapt their discourses to cultural, economic, and historical contexts in Chile, Spain, Sweden, and the Netherlands. Integrating discourse studies with social cognition theories, van Dijk reveals how nationalism, anti-globalism, and sociocultural backlash drive these narratives. With a focus on populism as a strategic discourse rather than ideology, the book underscores the dynamics of ingroup/outgroup rhetoric and its role in mobilizing support. While highlighting ideological clustering, the work offers valuable insights for scholars o
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Zárate-Solano, Hector Manuel, and Daniel R. Zapata-Sanabria. Clustering and forecasting inflation expectations using the World Economic Survey : the case of the 2014 oil price shock on inflation targeting countries. Banco de la República, 2017. http://dx.doi.org/10.32468/be.993.

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Pulido-Mahecha, Karen L., Sergio Restrepo-Ángel, and Franky Juliano Galeano-Ramírez†. Measuring the Unmeasurable: Unraveling the complexities of real-time output gap estimation. Banco de la República, 2024. http://dx.doi.org/10.32468/be.1284.

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This paper evaluates seven output gap models for real-time estimates, based on three criteria: stability of estimations on new observations, data revisions and/or methodological changes; inflation forecasting accuracy; and potential output response to structural economic shocks. Results confirm no single model outperforms across all criteria. Structural VARs exhibit superior inflation forecasts but show high instability, while semi-structural models produce more theoretically consistent potential output responses. To overcome this trade-off, we propose a novel clustering approach to pool model
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Zhao, Ying, and George Karypis. Soft Clustering Criterion Functions for Partitional Document Clustering. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada439425.

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7

Navajas, Fernando. Electricity Rate Structure Design in Latin America: Where Do We Stand? Where Should We Go? Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005102.

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This paper reviews some critical issues for addressing the structure of electricity tariffs for ulterior purposes of policy research agenda. Starting from economic principles behind electricity tariff design, this paper asks what options ahead Latin America has in terms of improving electricity tariff design from a heterogeneous status quo, where trade-offs among cost recovery, cost reflectivity and affordability stand out. Options look like an avenue for improving cost recovery through better wholesale market design and regulation; move outside excess volumetric pricing and towards fixed and
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Rasiah, Rajah. Fostering Clusters in the Malaysian Electronics Industry. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0006838.

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The meaning of clusters has evolved considerably over several decades. This presentation seeks to use a synthesis of the concept from the time of Mill and Marshall (industrial districts), and Smith and Young on differentiation and division of labour to encompass the work of Brusco, Becatini, Sabel, Sengenberger, Zeitlin, Pyke, Richardson, North, Lorenz, Wilkinson and Piore to extract the influence of socio-economic relationships (a blend of markets and trust-loyalty), and subsequently the contributions of Porter (traditional and high tech clusters) and Best (organizational change, techno-diver
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Graf, N. Clustering Algorithm Studies. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/839953.

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10

Chen, Yudong, Sujay Sanghavi, and Huan Xu. Improved graph clustering. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada596381.

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